Sensor Integration in a Forestry Machine

Author:

Pereira Tiago1ORCID,Gameiro Tiago1ORCID,Viegas Carlos2ORCID,Santos Victor13ORCID,Ferreira Nuno14ORCID

Affiliation:

1. Engineering Institute of Coimbra (ISEC), Polytechnic of Coimbra (IPC), 3030-199 Coimbra, Portugal

2. ADAI (Association for the Development of Industrial Aerodynamics), Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal

3. INESC Coimbra (Institute for Systems and Computers Engineering at Coimbra), 3000-033 Coimbra, Portugal

4. GECAD—Knowledge Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development of the Engineering Institute of Porto (ISEP), Polytechnic Institute of Porto (IPP), 4200-465 Porto, Portugal

Abstract

This paper presents the integration of multimodal sensor systems for an autonomous forestry machine. The utilized technology is housed in a single enclosure which consolidates a set of components responsible for executing machine control actions and comprehending its behavior in various scenarios. This sensor box, named Sentry, will subsequently be connected to a forestry machine from MDB, model LV600 PRO. The article outlines previous work in this field and then details the integration and operation of the equipment, integrated into the forest machine, providing descriptions of the adopted architecture at both the hardware and software levels. The gathered data enables the assessment of the forestry machine’s orientation and position based on the information collected by the sensors. Finally, practical experiments are presented to demonstrate the system’s behavior and to analyze the methods to be employed for autonomous navigation, thereby assessing the performance of the established architecture. The novel aspects of this work include the physical and digital integration of a multimodal sensor system on a forestry machine, its use in a real case scenario, namely, forest vegetation removal, and the strategies adopted to improve the machine localization and navigation performance on unstructured environments.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference34 articles.

1. Environmental impact of fire;Martin;Fire Sci. Rev.,2016

2. (2023, May 16). New Data Confirms: Forest Fires Are Getting Worse. Available online: https://www.wri.org/insights/global-trends-forest-fires.

3. A look at forest fires in Portugal: Technical, institutional, and social perceptions;Ribeiro;Scand. J. For. Res.,2015

4. Dennis, F.C. (1999). Fire-Resistant Landscaping, Colorado State University.

5. Operational properties of forestry mulchers for cleaning field protection forest belts after sanitary cuttings;Marinov;Silva Balc.,2023

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3